Reaching Remote Health Workers in Malawi: Baseline Assessment of a Pilot mHealth Intervention
Abstract
mHealth has great potential to change the landscape of health service delivery in less developed countries--expanding the reach of health information to frontline health workers in remote areas. Formative, process, and summative evaluation each play an important role in mHealth interventions. K4Health conducted a Health Information Needs Assessment in Malawi from July to September 2009 (formative evaluation) that found widespread use of cell phones among health workers offering new opportunities for knowledge exchange, especially in areas where access to health information is limited. K4Health subsequently designed an 18-month demonstration project (January 2010 to June 2011) to improve the exchange and use of family planning/reproductive health and HIV/AIDS knowledge among health workers, which included the introduction of a short message service (SMS) network. K4Health conducted a pretest of the mHealth intervention from June to October 2010. A baseline assessment was carried out in November 2010 before expanding the SMS network and included use of qualitative and quantitative measures and comparison groups (summative evaluation). Routinely collected statistics also guide the program (process evaluation). This article describes the approach and main findings of the SMS baseline study and contributes to a growing body of evidence measuring the effectiveness and efficiency of mHealth programs using a strong evaluation design.
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Other studies have demonstrated the benefits of equipping health workers with data management technologies to improve the continuity of care in rural populations.
“These findings align with other studies that have demonstrated the benefits of equipping health workers with data management technologies to improve the continuity of care in rural populations [27, 61].”
The average cost per communication was about five times less expensive using SMS than in areas without SMS service.
“The average cost per communication was about five times less expensive using SMS than in areas without SMS service.”
From mHealth in Sub-Saharan Africa (2013) · cites this paper as [14]
In rural areas of Malawi, CHWs most often used SMS to report medical supply shortages, followed by texts to obtain or communicate general information, and then by texts about patients with emergencies.
“In this study, CHWs most often used SMS to report medical supply shortages, followed by texts to obtain or communicate general information, and then by texts about patients with emergencies.”
From mHealth in Sub-Saharan Africa (2013) · cites this paper as [14]
Communication via SMS took an average of nine minutes, whereas health workers in areas without SMS generally had to report any issues in person and this took an average of 24 hrs.
“Communication via SMS took an average of nine minutes, whereas health workers in areas without SMS generally had to report any issues in person and this took an average of 24 hrs.”
From mHealth in Sub-Saharan Africa (2013) · cites this paper as [14]
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- Authors
- Lemay, N. V., Sullivan, T., Jumbe, B., & Perry, C. P.
- Affiliations
- Management Sciences for Health (US)
- Johns Hopkins University (US)
- Corresponding author
- Lemay, Nancy Vollmer
- Venue
- Journal of Health Communication
- Publisher
- Informa UK Limited
- Published
- 2012-05-02
- Volume
- 17
- Issue
- sup1
- Pages
- 105-117
- ISSN
- 1081-0730 (ISSN-L)
- 1087-0415
- OpenAlex
- W2157095615
- Cited by
- 96
- References
- 5
- Citations by year
- 2026: 1 · 2023: 3 · 2022: 6 · 2021: 3 · 2020: 8 · 2019: 12 · 2018: 9 · 2017: 8 · 2016: 11 · 2015: 15 · 2014: 11 · 2013: 8 · 2012: 1
- FWCI
- 19.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Health Communication (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Health › Social Media in Health Education
- Keywords
- mobile health, SMS, healthcare workers, family planning, reproductive health, HIV/AIDS, health information needs, baseline assessment, pilot intervention, health information exchange, mobile devices, Malawi
- MeSH terms
- Clinical Competence, Community Health Workers, Community Health Services, Family Planning Services, Humans, Malawi, Pilot Projects, Program Evaluation, Telemedicine, Needs Assessment, Reproductive Health Services, Qualitative Research, Text Messaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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